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Leads Discovery Agent by Nova (CIVAI)

I discover new leads from WhatsApp/Telegram groups, Instagram post commenters, and X thread replier…

Sollte ich dies verwenden

Qualität und Sicherheit

B
Qualität der Beschreibung
90%
Vollständigkeit des Schemas
80%
Qualität der Benennung
67%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (10)

  • LOWTool 'leads_discovery__list_connectors' name length outside 3-30 rangein leads_discovery__list_connectors
  • LOWTool 'leads_discovery__suggest_targets' name length outside 3-30 rangein leads_discovery__suggest_targets
  • LOWTool 'leads_discovery__list_scan_results' name length outside 3-30 rangein leads_discovery__list_scan_results
  • LOWTool 'leads_discovery__clear_discovery_cache' name length outside 3-30 rangein leads_discovery__clear_discovery_cache
  • LOWTool 'leads_discovery__create_scan_schedule' name length outside 3-30 rangein leads_discovery__create_scan_schedule
  • LOWTool 'leads_discovery__list_scan_schedules' name length outside 3-30 rangein leads_discovery__list_scan_schedules
  • LOWTool 'leads_discovery__update_scan_schedule' name length outside 3-30 rangein leads_discovery__update_scan_schedule
  • LOWTool 'leads_discovery__delete_scan_schedule' name length outside 3-30 rangein leads_discovery__delete_scan_schedule
  • LOWTool 'leads_discovery__trigger_scan_schedule' name length outside 3-30 rangein leads_discovery__trigger_scan_schedule
  • LOWTool 'leads_discovery__get_discovery_analytics' name length outside 3-30 rangein leads_discovery__get_discovery_analytics

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~1,303Tokens (Tool-Definitionen)
~597 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (1.02% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "leads-discovery-agent": {
      "url": "https://nova.civai.co/mcp/agents/leads-discovery-agent"
    }
  }
}

Remote-Endpunkte

https://nova.civai.co/mcp/agents/leads-discovery-agentstreamable-http

Was es kann

Tool-Inventar

Tools (16)

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🟢leads_discovery__list_connectors(agent_id)

List WhatsApp, Instagram, Email, X connector status for a support agent.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
⚪leads_discovery__suggest_targets(agent_id, channel, discovery_depth, discovery_breadth, min_followers, ...)

AI-propose Instagram or X @targets for a discovery scan (depth/breadth optional).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "channel": {
      "type": "string",
      "enum": [
        "instagram",
        "x"
      ]
    },
    "discovery_depth": {
      "type": "integer"
    },
    "discovery_breadth": {
      "type": "integer"
    },
    "min_followers": {
      "type": "integer"
    },
    "disable_hard_filter": {
      "type": "boolean"
    }
  },
  "required": [
    "agent_id",
    "channel"
  ]
}
⚪leads_discovery__run_scan(agent_id, channel, params)

Start a leads discovery scan (whatsapp, instagram, x, telegram, or jiji).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "channel": {
      "type": "string"
    },
    "params": {
      "type": "object"
    }
  },
  "required": [
    "agent_id",
    "channel"
  ]
}
⚪leads_discovery__continue_scan(agent_id, scan_id, selected_resources, max_contacts_per_group)

Continue a scan paused for selection (WhatsApp/Telegram groups or IG/X targets).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "scan_id": {
      "type": "string"
    },
    "selected_resources": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "max_contacts_per_group": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id",
    "scan_id",
    "selected_resources"
  ]
}
🟢leads_discovery__list_scans(agent_id)

List past and active leads discovery scans for an agent.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟢leads_discovery__get_scan(agent_id, scan_id, offset, limit)

Get one scan with paginated leads (status, progress, leads).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "scan_id": {
      "type": "string"
    },
    "offset": {
      "type": "integer"
    },
    "limit": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id",
    "scan_id"
  ]
}
🟢leads_discovery__list_scan_results(agent_id, scan_id, offset, limit)

Alias of get_scan — read leads from an active or completed scan.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "scan_id": {
      "type": "string"
    },
    "offset": {
      "type": "integer"
    },
    "limit": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id",
    "scan_id"
  ]
}
🔴leads_discovery__delete_scans(agent_id, scan_ids)

Delete one or more completed scan runs (does not delete schedules).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "scan_ids": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "agent_id",
    "scan_ids"
  ]
}
⚪leads_discovery__import_leads(agent_id, scan_id, lead_ids, label, outreach)

Import discovered leads into the agent CRM (outreach: none|immediate|bulk_followup).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "scan_id": {
      "type": "string"
    },
    "lead_ids": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "label": {
      "type": "string"
    },
    "outreach": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "scan_id",
    "lead_ids"
  ]
}
🔴leads_discovery__clear_discovery_cache(agent_id)

Clear Leads Discovery scan cache for an agent (seen handles / WA progress).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡leads_discovery__create_scan_schedule(agent_id, channel, params, frequency, auto_import, ...)

Create an auto-scan schedule (Import Only or Message now outreach).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "channel": {
      "type": "string"
    },
    "params": {
      "type": "object"
    },
    "frequency": {
      "type": "string"
    },
    "auto_import": {
      "type": "boolean"
    },
    "auto_outreach": {
      "type": "string"
    },
    "label": {
      "type": "string"
    },
    "max_leads_per_run": {
      "type": "integer"
    },
    "max_runs": {
      "type": "integer"
    },
    "relax_target_filter_after_runs": {
      "type": "integer"
    },
    "source_scan_id": {
      "type": "string"
    },
    "source_scan_at": {
      "type": "string"
    },
    "run_hour_utc": {
      "type": "integer"
    },
    "enabled": {
      "type": "boolean"
    }
  },
  "required": [
    "agent_id",
    "channel"
  ]
}
🟢leads_discovery__list_scan_schedules(agent_id)

List auto-scan schedules for an agent.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡leads_discovery__update_scan_schedule(agent_id, schedule_id, channel, params, frequency, ...)

Update or pause/resume an auto-scan schedule.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "schedule_id": {
      "type": "string"
    },
    "channel": {
      "type": "string"
    },
    "params": {
      "type": "object"
    },
    "frequency": {
      "type": "string"
    },
    "auto_import": {
      "type": "boolean"
    },
    "auto_outreach": {
      "type": "string"
    },
    "label": {
      "type": "string"
    },
    "max_leads_per_run": {
      "type": "integer"
    },
    "max_runs": {
      "type": "integer"
    },
    "relax_target_filter_after_runs": {
      "type": "integer"
    },
    "enabled": {
      "type": "boolean"
    },
    "run_hour_utc": {
      "type": "integer"
    }
  },
  "required": [
    "agent_id",
    "schedule_id"
  ]
}
🔴leads_discovery__delete_scan_schedule(agent_id, schedule_id)

Delete an auto-scan schedule.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "schedule_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "schedule_id"
  ]
}
⚪leads_discovery__trigger_scan_schedule(agent_id, schedule_id)

Run an auto-scan schedule immediately (Run now).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "schedule_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id",
    "schedule_id"
  ]
}
🟢leads_discovery__get_discovery_analytics(agent_id, window)

Get sourced-leads analytics for an agent (window e.g. 7d, 30d).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "window": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}

Empfohlene Prompts

list_items
List all [items] available in Leads Discovery Agent by Nova (CIVAI)
Erwartete Tools: leads_discovery__list_connectors
browse_collection
Show me the [collection] from Leads Discovery Agent by Nova (CIVAI)
Erwartete Tools: leads_discovery__list_connectors
retrieve_data
Get details about [item] from Leads Discovery Agent by Nova (CIVAI)
Erwartete Tools: leads_discovery__suggest_targets
fetch_info
Fetch [information type] using Leads Discovery Agent by Nova (CIVAI)
Erwartete Tools: leads_discovery__suggest_targets
explore_workflow
List available [items], then get details for each one using Leads Discovery Agent by Nova (CIVAI)
Erwartete Tools: leads_discovery__list_connectorsleads_discovery__suggest_targets

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verifiziertVersion nicht aufgezeichnet16 Tools